Agent-PGO: Optimizing AI Agent Costs via Node-Level Profiling
OwnOil1149 · reddit · 2026-09-02
The author is building Agent-PGO to address static model selection in agent systems. The approach profiles real executions at the node level to identify cost and latency sources, then tests cheaper model substitutions against an eval suite, keeping only those that stay within explicit quality bounds. The goal is to find the cheapest execution plan that passes the workload, not just the cheapest model. The landing page and optimization studio are working, with Backend V1 currently under construction.
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